Publications
Peer-reviewed work and selected preprints.
Hierarchical Causal Abduction: A Foundation Framework for Explainable Model Predictive Control
A framework that unifies physics knowledge graphs, KKT optimisation evidence, and temporal causal discovery to produce human-interpretable explanations for nonlinear model predictive control across greenhouse climate, building HVAC, and chemical process engineering.
Enhancing greenhouse management with interpretable AI: a natural-language interface for advanced and optimization-based control
A natural-language interface that lets greenhouse operators query an MPC controller in plain English and receive interpretable, evidence-grounded answers about why the system acted the way it did.
Automated analysis and textual summarization of time-varying references in advanced greenhouse climate control
An automated pipeline that decomposes time-varying greenhouse reference trajectories (temperature, humidity, CO2) into operator-readable components, so domain experts can audit setpoint design at scale.
For a complete list including talks, see my Google Scholar profile.